FUSE is how Blackfrog delivers every product — the method, not the merchandise. Costing, hospitality intelligence, competitive intelligence: three different rooms, one discipline. Each one was built by going to where the work actually happens, building it with the people who do that work, standardizing before augmenting, and calibrating against reality until the numbers hold. This page isn’t something you buy. It’s why the things you buy from us work.
We start inside the actual work — the drawing set on the estimator’s desk, the invoices piling up in the kitchen, the corpus of documents nobody has time to read. Leadership tells us what they think is happening; the people doing the work show us what actually happens, and the gap between those two answers is usually where the opportunity lives. We map the process, find the real constraint, and write down a baseline — because improvement without measurement is just opinion.
What it produces: A documented baseline and the one process worth building against — with the expertise it will amplify named on paper.
People don’t resist change; they resist being changed to. So the people whose work will change help design the build — and the “no staff displaced” commitment goes in writing before anything else does. Their knowledge becomes the system’s foundation: the estimator’s own historical bids become the rate tables, the operator confirms every line the AI reads, the researcher’s standards become the rules the machine must follow.
What it produces: A build shaped by the people who’ll run it, with the no-staff-displaced commitment documented and success criteria the experts signed off on.
You can’t reliably augment chaos — so the work gets standardized first, often for the first time in the company’s history, and the system gets built against that standard rather than the messiest version of current practice. The architecture is always the same: deterministic code does the measuring and the math, AI reads the messy inputs, and every human checkpoint is designed in, not bolted on. Everything is instrumented, because the next phase needs real data.
What it produces: A working system with the expert’s review built into the workflow — and measurement running from day one.
A system isn’t done when it ships; it’s done when it holds up against reality. We calibrate outputs against the expert’s own real-world results and keep adjusting until they agree — then keep measuring, because drift is a when, not an if. The loop doesn’t end: each cycle surfaces the next thing worth improving, and the people running the system own the method by the time we step back.
What it produces: A system calibrated against real results, improving on a measured cadence — owned by your people, not dependent on ours.
Every quantity, price, margin, and score is computed by deterministic code — the same inputs always produce the same answer. The AI never invents a number; if a figure is an estimate, it’s labeled as one.
Drawing sets, invoices, competitor menus, thousands of research abstracts — the reading no one has hours for. What the machine extracts is sourced, labeled, and put in front of a person before it counts.
The estimator approves every line. The operator makes every call. The researcher validates every conclusion. The system makes the case with evidence; a human makes the decision.
This is why “No staff displaced” holds on every engagement — it isn’t a policy bolted onto the method, it is the method. Systems built this way amplify your best people and redeploy their expertise to the judgment calls that matter. They make your best people bigger, not optional.
Every Blackfrog product is FUSE, pointed at a different room.
Find lived on the estimator’s desk; Unite turned their own historical bids into the rate tables; Systemize put deterministic pricing behind an AI that reads the drawings; Evolve calibrated the engine against the estimator’s own sealed bids until the totals agreed. The estimator is the last word on every line.
The data an operator already produces — point-of-sale, invoices, menus, the whole competitive market — united into one model, with code doing every calculation and findings refreshing automatically every week. Evolve isn’t a phase here; it’s the product’s operating cadence.
Every competitor’s public footprint — site, listings, reviews, search, ads, social — united into one canonical record, systemized into deterministic scores, and re-audited automatically every week. Evolve isn’t a phase here; it’s the operating cadence — the market never stops moving, so neither does the audit. A person reviews every finding before you act on it.
Every engagement starts the way Find does — with your actual work, not a pitch about technology. Bring a drawing set, a stack of invoices, or the pile of documents nobody can read, and we’ll show you what the method finds in it.
FUSE — Find, Unite, Systemize, Evolve — is how Blackfrog delivers every product, not something you buy. Find where the real information lives; Unite it into one picture; Systemize the work your experts shouldn’t do by hand; Evolve the system against real use. Different products, one discipline: go to where the work happens, build it with the people who do it, and calibrate against reality until the numbers hold.
Before anyone relies on a Blackfrog system, it has to hand you back numbers you already know are true — reproduce a priced bid, match a completed job, agree with last month’s totals. If it can’t mirror your own truth, you don’t trust it with new work, and we say so. It’s verification, not magic: the AI does the impressive reading and measuring; ground truth decides whether it’s right.
Because in the work our clients do — estimating, pricing, competitive decisions — impressive and wrong is expensive. The published proof already has this shape: the largest scope item within about 1% of the estimator’s manual takeoff, a bid reproduced to 97.5%, a budget within −0.2% of sealed bids. Speed sells the demo; verification is what lets you bank the result.
The named method behind every engagement, written so you can run it against any vendor — including us.
What passing looks like in numbers: 97.5% of a priced bid, −0.2% across 21 CSI divisions.
The reading behind the numbers — how we work, shown rather than asserted.
Practical AI for small and mid-sized business. Live products, verified numbers, and your experts in charge of every decision.